Great questions. In regards to the first question, my take on this is that it is an ever evolving continuum where these two things have to go hand in hand. Let's say, if you have the ability to claim that you have reached 70% as the milestone in improving data quality, does that mean your work with data quality is over or does that mean that you can go ahead and now tackle the remaining 30%. Or instead of tackling all of the 30%, you will say, I have to improve it from 70 to 75, 75 to 78. And you keep making incremental progress because in these areas, there is a long tail of opportunity and effort that is involved with it. Both of them have to go hand in hand, and as we bring together aggregate and unified information, we have to think about, is there a different governance model that we can apply to it? Because instead of being fragmented, siloed data spread across all different systems, even if you put a system of governance and a system of curation in place, which is the master data management system, then you have to think about how the data governance policies will drive the continuous improvement on top of it. And instead of having data governance spread out into different parts of the organization, can you do it in a manner where you are empowering more people to participate in that data governance cycle.
For your second question - There's a sequence to approaching it. For example, let's think about the state where you don't have a master data management or a central 360 degree view of the information that you're working with. In that case, all of the data is getting created in the applications. And a lot of the consumption of that data is taking place in those applications. And most of those applications don't have good data quality type of capabilities or ability to prevent duplicates from getting created even within those applications. So instead of trying to rewire each system on day one, I think the sequence that works or has proven to work is, start centralizing the information because instead of going across 50 different applications and trying to manage quality in each one of them separately, you have to get to a shared understanding of the data quality.
In regards to Reltio's vision, our mission is to be the real time operating system for data. And when we say data, it is the core data that your business runs on. So think about customer information, product information, supplier information, asset information, employee information. These are all the different types of data domains that are relevant to running your business. And given the fragmented state of the enterprise or the siloed state of the enterprise, there is a dire need to have central system that will govern, manage, aggregate, unify, and provide the single source of truth for these types of data domains. And that's where we see Reltio plane, because my long term hypothesis towards the evolution of the space is that applications will create data, consume data, but they will not be governors or owners of data.
------------------------------
Manish Sood
------------------------------
Original Message:
Sent: 04-05-2022 12:42
From: Abby Hosseini
Subject: Ask Me Anything - Manish Sood - Founder and CTO - Ask here
- How does Data Governance and MDM complement each other? Is MDM there to solve the lack of clear data governance or is good data governance negate the need for MDM.
- How should organizations fundamentally solve the data quality issues that emanate from poor source system data entry problems.
- If you fast forward five years, how do you see Reltio's vision and market presence? What will you be known for?
- For Reltio's vision to be ultimately game-changing, APIs need to be very high-performing. How do you plan to make MDM data available to inline decision-making via APIs.
------------------------------
Abby Hosseini
Mercury Insurance Group
Brea CA
Original Message:
Sent: 03-29-2022 07:30
From: Chris Detzel
Subject: Ask Me Anything - Manish Sood - Founder and CTO - Ask here
Welcome to another Reltio Community Show. Presenting Reltio's Founder and CTO, @Manish Sood , and @Ansh Kanwar, VP of Core Data Platform and Infrastructure. RSVP HERE! Ansh will be asking questions from the community and Manish will provide his perspective and advice to the Community on all things Master Data Management. From market concerns and observations to deep-dive technical questions and informed predictions about what the rest of 2022 has to offer and beyond. Manish will field questions to help you jump on the rest of the year and beyond.
To qualify for swag, Ask Your Question here. if your question is asked during the session, you will definitely get some swag, and if there is any swag left over, then if you asked a question on this thread, then you will have a chance to get swag,
Note: Questions that are generally picked are non-technical questions.
DISCLAIMER: Unfortunately, we are unable to ship items to India. But don't worry - you can still win! If you meet the qualifications above, we will send an e-gift card directly to your email. (send contact details to communitymanager@reltio.com)
------------------------------
Chris Detzel
Director of Customer Community and Engagement
Reltio
------------------------------